Instructions to use amphora/KorFin-ABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/KorFin-ABSA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/KorFin-ABSA") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/KorFin-ABSA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from amphora/KorFin-ABSA: direct link, hf CLI and curl.
- Browser
- Download file 460 Bytes
-
https://huggingface.co/amphora/KorFin-ABSA/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://amphora/KorFin-ABSA/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/amphora/KorFin-ABSA/resolve/main/tokenizer_config.json
460 Bytes
| { | |
| "additional_special_tokens": null, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "name_or_path": "/content/drive/MyDrive/Research/KF_ABSA/ko-mT5", | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |